Relational meta-model and associated domain context-based knowledge inference engine for knowledge discovery and organization

This system helps organize and discover information using a specialized database called a relational meta-model, which stores data in a multi-layered, hierarchical way. When a user asks a question, a knowledge engine processes it, drawing inferences from this meta-model to provide answers. The invention specifically focuses on dynamically discovering relationships between data from various sources, including the web, by analyzing and storing their underlying data structures.

Why it matters: Filed before the widespread adoption of advanced AI and Large Language Models, which are now highly capable of dynamic knowledge discovery, schema understanding, and complex inference over diverse data sources. These advancements could significantly enhance or simplify the core knowledge inference engine and the dynamic association discovery described.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedHeavy software system, database design, inference engine

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